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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

speedscale

How to Do Full-Text Search Across All Application Traffic with Speedscale

Jan 9, 2026 By Matthew LeRay In Speedscale
Modern DevOps observability tools are excellent for monitoring system health, tracking distributed traces, and aggregating metrics. However, they lack the fidelity needed for full-text search across application traffic. While observability platforms excel at showing what happened and when, they often fall short when you need to find where a specific piece of data (like an email address, user ID, or transaction token) appears as it flows through your entire application stack.
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cortex

A buyer's guide to engineering intelligence platforms in 2026

Jan 9, 2026 By Cortex In Cortex
You're in a planning meeting when someone asks a simple question. How long does it actually take your team to ship a feature? You've got spreadsheets, Git logs, and Jira exports scattered across three tabs, and you still can't give a confident answer. It's a question you should be able to answer instantly, but the data lives in too many places to stitch together on the fly.
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upsun

AI coding assistants are only as good as the context you give them

Jan 9, 2026 By Upsun In Upsun
AI coding assistants have quickly become part of everyday development. Teams now rely on them to explain unfamiliar code, suggest configuration files, debug errors, and accelerate delivery across the stack. But as these tools move from experimentation into real production workflows, a consistent pattern is emerging: AI breaks down at the platform boundary.
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Harness | Docker Artifact Registry | How to Push and Pull Images

Jan 9, 2026 By Harness In Harness
This video provides a clear and practical walkthrough of the Harness Artifact Registry, demonstrating how to work with Docker images in a secure and reliable manner. You will see the complete flow of pushing images into the registry and pulling them back for builds, deployments, and platform workflows. The goal is to help developers and platform engineers understand how the registry fits into everyday delivery pipelines.
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ribbon

Optimizing DCI for AI Growth: All Roads Lead to Managed Optical Fiber Networks

Jan 9, 2026 By Mitch Simcoe In Ribbon
The accelerating demand for artificial intelligence and cloud-based applications is fundamentally altering how organizations approach physical infrastructure. As data center construction shifts toward rural geographies in search of affordable power and real estate, the connectivity binding these facilities together has become a critical bottleneck. Network architects and CIOs are currently facing a complex decision matrix regarding Data Center Interconnect (DCI) deployment.
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cloudzero

Budget Variance In The Cloud Era: Here's How To Turn Surprises Into Business Value

Jan 9, 2026 By Lyne Carolyne In CloudZero
In the traditional finance world, budget variance was a static comparison between actual and budgeted spend. But in the cloud era, where costs scale with usage, experimentation, and engineering decisions, variance tells a much richer story. Done right, budget variance helps you distinguish between healthy growth and margin erosion. It can signal strong feature adoption, rising customer demand, or successful launches. It can also reveal waste, inefficiencies, and weak cost controls.
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Is Kubernetes actually HARD? #speedscale #kubernetes #k8s #devops #cloudnative

Jan 9, 2026 By Speedscale In Speedscale
Thinking about learning Kubernetes in 2026? You’ll need GitOps, kubectl, and CI/CD pipelines... OR you can just use Speedscale. See how a single operator replaces a million dependencies and gives you the traffic insights you actually need to survive production.
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Kubernetes is Hard. Here is the "Easy Mode" for 2026

Jan 9, 2026 By Speedscale In Speedscale
Is Kubernetes actually hard, or are we just using the wrong tools? In 2026, the Kubernetes ecosystem has become a "dependency jungle." Between GitOps, YAML configuration, kubectl mastery, and complex CI/CD pipelines, developers are spending more time managing infrastructure than writing code. In this video, Ken breaks down the "hard parts" of K8s and introduces a more efficient workflow using Speedscale. Learn how to gain instant visibility into your cluster, pull logs without the headache, and turn real-world traffic into actionable load tests.
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harness

Recommended Experiments for Production Resilience in Harness Chaos Engineering | Harness Blog

Jan 9, 2026 By Ashutosh Bhadauriya In Harness
This guide covers battle-tested chaos experiments for Kubernetes, AWS, Azure, and GCP to help you validate production resilience before real failures happen. Start with low blast radius experiments (pod-level) and gradually progress to higher impact scenarios (node/zone failures), always defining clear hypotheses and using probes to measure results. Building reliable distributed systems isn't just about writing good code. It's about understanding how your systems behave when things go wrong.
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metricfire

Guide to Sending Custom Metrics From Your Heroku Application

Jan 9, 2026 By Benjamin Pitts In MetricFire
Heroku makes it easy to deploy and operate applications without managing servers, but understanding how your application behaves internally still requires instrumentation. Platform metrics like CPU usage, memory consumption, and router request/status counts are useful, but they don’t tell you how long your code takes to run, when your app throws errors, or whether users are interacting with key features.
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